A Novel Approach for Data Communication and Safety Concern in VANET Using Cognitive Radio

Author(s):  
Ishu Bansal ◽  
Rajnish Kansal

VANET is branch of networking that is used for communication in intelligent transportation system. In this process of VANET various nodes are interconnected to each other and road side units. R2R, V2V and V2R communication has been done in VANET. Due to variouscommunications under VANET routing protocols have overhead for computation of shortest path and transmission of information with minimum delay. Delay in the network cause minimum safety. In this paper an approach has been proposed that can be used for transmission of safety message over the network with minimum delay. On the basis of proposed approach safety message can be transmitted in shortest interval of time so that safety can be achieved in the network.

Author(s):  
Hamzah U. Mustakim

Smart vehicles is one of the innovation that can be used to increase the effectiveness of traffic in smart city as urban area and in the highway. In its development, smart vehicles not only require mobile communication services to ensure safety but also multimedia services for the passengers. These services must be integrated on intelligent transportation system. 5G vehicular network technology provides data communication services for intelligent transportation system via macrocells and smallcells to support smart vehicles which can drive at a maximum speed of 500Km/hour with multimedia services for passengers with data rates reaching the Gbps level. This paper will review 5G network architecture and emerging technologies that enabling vehicular network for smart vehicles in smart city.


2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Guang Chen ◽  
Hu Cao ◽  
Muhammad Aafaque ◽  
Jieneng Chen ◽  
Canbo Ye ◽  
...  

Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefully sending entire images at fixed frame rate, neuromorphic vision sensor only transmits the local pixel-level changes caused by the movement in a scene at the time they occur. This results in advantageous characteristics, in terms of low energy consumption, high dynamic range, sparse event stream, and low response latency, which can be very useful in intelligent perception systems for modern intelligent transportation system (ITS) that requires efficient wireless data communication and low power embedded computing resources. In this paper, we propose the first neuromorphic vision based multivehicle detection and tracking system in ITS. The performance of the system is evaluated with a dataset recorded by a neuromorphic vision sensor mounted on a highway bridge. We performed a preliminary multivehicle tracking-by-clustering study using three classical clustering approaches and four tracking approaches. Our experiment results indicate that, by making full use of the low latency and sparse event stream, we could easily integrate an online tracking-by-clustering system running at a high frame rate, which far exceeds the real-time capabilities of traditional frame-based cameras. If the accuracy is prioritized, the tracking task can also be performed robustly at a relatively high rate with different combinations of algorithms. We also provide our dataset and evaluation approaches serving as the first neuromorphic benchmark in ITS and hopefully can motivate further research on neuromorphic vision sensors for ITS solutions.


2012 ◽  
Vol 532-533 ◽  
pp. 1100-1104
Author(s):  
Lan Li

The internet of things is a network designed for connecting things together, which is established on the basis of computer network, as well as by making use of the RFID, wireless data communication technology, etc. Among all these technologies, RFID plays a crucial role in the construction of the internet of things. So far, the RFID technology has been widely used in industry, commerce, intelligent transportation system, and many other fields.


In today’s modern era the congestion problem of vehicles is increasing, resulting in traffic jam, accidents, etc. Also today’s transportation system is far away from intelligent and important message broadcasting within the vehicular network. To overcome these problems there is need of Intelligent Transportation System (ITS) which can boost up the usefulness of the vehicular network infrastructure. In this paper we have designed IP based intelligent transportation system by using WiMAX network protocol with reactive routing protocols like Ad hoc On-demand Distance Vector (AODV) and Ad hoc Ondemand Multipath Distance Vector (AOMDV). Also in this transportation system we have incorporated the scheme of particular data packet sender’s location tracking to extract the exact location of the specific data packetsender during transmission and reception process for intelligence agency. The performance evaluation of this vehicular ad hoc network (VANET) is done through performance parameter like throughput and delay for AODV and AOMDV routing protocols.


2020 ◽  
Vol 64 (1) ◽  
pp. 359-371
Author(s):  
Muhammad Waqas ◽  
Shanshan Tu ◽  
Sadaqat Ur Rehman ◽  
Zahid Halim ◽  
Sajid Anwar ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document